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<li class="navelem"><a class="el" href="namespacecutlass.html">cutlass</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1layout.html">layout</a></li><li class="navelem"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">TensorOpMultiplicand</a></li>  </ul>
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<a href="#pub-types">Public Types</a> &#124;
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<div class="title">cutlass::layout::TensorOpMultiplicand&lt; ElementSize, Crosswise &gt; Struct Template Reference</div>  </div>
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<p><code>#include &lt;<a class="el" href="tensor__op__multiplicand__sm75_8h_source.html">tensor_op_multiplicand_sm75.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:a68fab741fd24d425c260d274b550bd2f"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a68fab741fd24d425c260d274b550bd2f">Index</a> = int32_t</td></tr>
<tr class="memdesc:a68fab741fd24d425c260d274b550bd2f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Index type used for coordinates.  <a href="#a68fab741fd24d425c260d274b550bd2f">More...</a><br /></td></tr>
<tr class="separator:a68fab741fd24d425c260d274b550bd2f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a28b111ff2701662606d3c69d53c49a84"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a28b111ff2701662606d3c69d53c49a84">LongIndex</a> = int64_t</td></tr>
<tr class="memdesc:a28b111ff2701662606d3c69d53c49a84"><td class="mdescLeft">&#160;</td><td class="mdescRight">Long index type used for offsets.  <a href="#a28b111ff2701662606d3c69d53c49a84">More...</a><br /></td></tr>
<tr class="separator:a28b111ff2701662606d3c69d53c49a84"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abf27d3930c7287a173a45596dd823903"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#abf27d3930c7287a173a45596dd823903">TensorCoord</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">PitchLinearCoord</a></td></tr>
<tr class="memdesc:abf27d3930c7287a173a45596dd823903"><td class="mdescLeft">&#160;</td><td class="mdescRight">Logical coordinate.  <a href="#abf27d3930c7287a173a45596dd823903">More...</a><br /></td></tr>
<tr class="separator:abf27d3930c7287a173a45596dd823903"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a86f319dcc8cc4913ef676bcf0daf3a1a"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a86f319dcc8cc4913ef676bcf0daf3a1a">Stride</a> = <a class="el" href="structcutlass_1_1Coord.html">Coord</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a8c6e0632e7a38d03612a73a93f5f6a1f">kStrideRank</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a68fab741fd24d425c260d274b550bd2f">Index</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a28b111ff2701662606d3c69d53c49a84">LongIndex</a> &gt;</td></tr>
<tr class="memdesc:a86f319dcc8cc4913ef676bcf0daf3a1a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Stride vector.  <a href="#a86f319dcc8cc4913ef676bcf0daf3a1a">More...</a><br /></td></tr>
<tr class="separator:a86f319dcc8cc4913ef676bcf0daf3a1a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1fe038f4ae8da6c432397cf20d5894a1"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1fe038f4ae8da6c432397cf20d5894a1">TileShape</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1a8ae93363b37a31b2b0ec0df2ea00d2">kTileShapeContiguous</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a56de60deb0ebd18347ad4fa33e10ffce">kTileShapeStride</a> &gt;</td></tr>
<tr class="separator:a1fe038f4ae8da6c432397cf20d5894a1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a46f64537deddaaedfaca7b5ae3cc3e6e"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a46f64537deddaaedfaca7b5ae3cc3e6e">PartitionShape</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt; 4, 4 &gt;</td></tr>
<tr class="memdesc:a46f64537deddaaedfaca7b5ae3cc3e6e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fundamental partition shape in units of vectors.  <a href="#a46f64537deddaaedfaca7b5ae3cc3e6e">More...</a><br /></td></tr>
<tr class="separator:a46f64537deddaaedfaca7b5ae3cc3e6e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a439376ce6d4333d65d971c0012674931"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a439376ce6d4333d65d971c0012674931">PartitionCount</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#a0d1cfb72e7511d162d123fcb36d181b7">TileShape::kContiguous</a>/<a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#a0d1cfb72e7511d162d123fcb36d181b7">PartitionShape::kContiguous</a>, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#aaec0afa0c26627d951d2d2b98a3e5601">TileShape::kStrided</a>/<a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#aaec0afa0c26627d951d2d2b98a3e5601">PartitionShape::kStrided</a> &gt;</td></tr>
<tr class="separator:a439376ce6d4333d65d971c0012674931"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aca2a06b16d1d4b1b9c0e8b8485e1b02f"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#aca2a06b16d1d4b1b9c0e8b8485e1b02f">AccessCount</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#a0d1cfb72e7511d162d123fcb36d181b7">PartitionShape::kContiguous</a>, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#aaec0afa0c26627d951d2d2b98a3e5601">PartitionShape::kStrided</a> &gt;</td></tr>
<tr class="separator:aca2a06b16d1d4b1b9c0e8b8485e1b02f"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a8a437591f9e9aa95ce0616dd931f48bd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a8a437591f9e9aa95ce0616dd931f48bd">TensorOpMultiplicand</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a68fab741fd24d425c260d274b550bd2f">Index</a> ldm=0)</td></tr>
<tr class="memdesc:a8a437591f9e9aa95ce0616dd931f48bd"><td class="mdescLeft">&#160;</td><td class="mdescRight">Ctor.  <a href="#a8a437591f9e9aa95ce0616dd931f48bd">More...</a><br /></td></tr>
<tr class="separator:a8a437591f9e9aa95ce0616dd931f48bd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aeee51a96d48446dd30a0024f6a88a95d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#aeee51a96d48446dd30a0024f6a88a95d">TensorOpMultiplicand</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a86f319dcc8cc4913ef676bcf0daf3a1a">Stride</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a57baa00f66f3b3ad24dbc803186e40d4">stride</a>)</td></tr>
<tr class="memdesc:aeee51a96d48446dd30a0024f6a88a95d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Ctor.  <a href="#aeee51a96d48446dd30a0024f6a88a95d">More...</a><br /></td></tr>
<tr class="separator:aeee51a96d48446dd30a0024f6a88a95d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a13c4bd4700ca704d527a4f83f0e58365"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a28b111ff2701662606d3c69d53c49a84">LongIndex</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a13c4bd4700ca704d527a4f83f0e58365">operator()</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#abf27d3930c7287a173a45596dd823903">TensorCoord</a> const &amp;coord) const </td></tr>
<tr class="separator:a13c4bd4700ca704d527a4f83f0e58365"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a57baa00f66f3b3ad24dbc803186e40d4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a86f319dcc8cc4913ef676bcf0daf3a1a">Stride</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a57baa00f66f3b3ad24dbc803186e40d4">stride</a> () const </td></tr>
<tr class="memdesc:a57baa00f66f3b3ad24dbc803186e40d4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the stride of the layout.  <a href="#a57baa00f66f3b3ad24dbc803186e40d4">More...</a><br /></td></tr>
<tr class="separator:a57baa00f66f3b3ad24dbc803186e40d4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acf086249495fdc5f55f7d4a03ce3c4dc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a86f319dcc8cc4913ef676bcf0daf3a1a">Stride</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#acf086249495fdc5f55f7d4a03ce3c4dc">stride</a> ()</td></tr>
<tr class="memdesc:acf086249495fdc5f55f7d4a03ce3c4dc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the stride of the layout.  <a href="#acf086249495fdc5f55f7d4a03ce3c4dc">More...</a><br /></td></tr>
<tr class="separator:acf086249495fdc5f55f7d4a03ce3c4dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9ef7a95265d1602eb5d050eb89ad8b6b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a28b111ff2701662606d3c69d53c49a84">LongIndex</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a9ef7a95265d1602eb5d050eb89ad8b6b">capacity</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#abf27d3930c7287a173a45596dd823903">TensorCoord</a> const &amp;extent) const </td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
<tr class="memitem:aae09584d5e60d401d73484d579722007"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">TensorOpMultiplicand</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#aae09584d5e60d401d73484d579722007">packed</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#abf27d3930c7287a173a45596dd823903">TensorCoord</a> const &amp;extent)</td></tr>
<tr class="memdesc:aae09584d5e60d401d73484d579722007"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper returns a layout to a tightly packed tensor.  <a href="#aae09584d5e60d401d73484d579722007">More...</a><br /></td></tr>
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Static Public Attributes</h2></td></tr>
<tr class="memitem:a92637a459d6d39f55aada64522e77dd6"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a92637a459d6d39f55aada64522e77dd6">kRank</a> = 2</td></tr>
<tr class="memdesc:a92637a459d6d39f55aada64522e77dd6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Logical rank of tensor.  <a href="#a92637a459d6d39f55aada64522e77dd6">More...</a><br /></td></tr>
<tr class="separator:a92637a459d6d39f55aada64522e77dd6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8c6e0632e7a38d03612a73a93f5f6a1f"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a8c6e0632e7a38d03612a73a93f5f6a1f">kStrideRank</a> = 1</td></tr>
<tr class="memdesc:a8c6e0632e7a38d03612a73a93f5f6a1f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Rank of stride vector.  <a href="#a8c6e0632e7a38d03612a73a93f5f6a1f">More...</a><br /></td></tr>
<tr class="separator:a8c6e0632e7a38d03612a73a93f5f6a1f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a627189c6253996de45f23c2dc04df72e"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a627189c6253996de45f23c2dc04df72e">kAccessSize</a> = 128</td></tr>
<tr class="memdesc:a627189c6253996de45f23c2dc04df72e"><td class="mdescLeft">&#160;</td><td class="mdescRight">This layout is optimized for 128b accesses.  <a href="#a627189c6253996de45f23c2dc04df72e">More...</a><br /></td></tr>
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<tr class="memitem:a1f35f08a131d76521a98c391acedb4e6"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1f35f08a131d76521a98c391acedb4e6">kElementSize</a> = ElementSize</td></tr>
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<tr class="memitem:a653fa6fd827643bcb835f6a715ac8d25"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a653fa6fd827643bcb835f6a715ac8d25">kElementsPerAccess</a> = <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a627189c6253996de45f23c2dc04df72e">kAccessSize</a> / <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1f35f08a131d76521a98c391acedb4e6">kElementSize</a></td></tr>
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<tr class="memitem:a58b9d5809fed8924636d1caa32f661ef"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a58b9d5809fed8924636d1caa32f661ef">kCrosswise</a> = Crosswise</td></tr>
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<tr class="memitem:a1a8ae93363b37a31b2b0ec0df2ea00d2"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1a8ae93363b37a31b2b0ec0df2ea00d2">kTileShapeContiguous</a> = 128 / (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a627189c6253996de45f23c2dc04df72e">kAccessSize</a> / 8)</td></tr>
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<tr class="memitem:abb0b4f936c0e251e9b3560fc9b7820f6"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#abb0b4f936c0e251e9b3560fc9b7820f6">kFactor</a></td></tr>
<tr class="memdesc:abb0b4f936c0e251e9b3560fc9b7820f6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of kblocks to store <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#a0d1cfb72e7511d162d123fcb36d181b7">PartitionShape::kContiguous</a> Elements.  <a href="#abb0b4f936c0e251e9b3560fc9b7820f6">More...</a><br /></td></tr>
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<tr class="memitem:a56de60deb0ebd18347ad4fa33e10ffce"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a56de60deb0ebd18347ad4fa33e10ffce">kTileShapeStride</a></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;int ElementSize, int Crosswise&gt;<br />
struct cutlass::layout::TensorOpMultiplicand&lt; ElementSize, Crosswise &gt;</h3>

<p>Template based on element size (in bits) - defined in terms of pitch-linear memory and Crosswise size (in elements). </p>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#aca2a06b16d1d4b1b9c0e8b8485e1b02f">AccessCount</a> =  <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt;<a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#a0d1cfb72e7511d162d123fcb36d181b7">PartitionShape::kContiguous</a>, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#aaec0afa0c26627d951d2d2b98a3e5601">PartitionShape::kStrided</a>&gt;</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a68fab741fd24d425c260d274b550bd2f">Index</a> =  int32_t</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a28b111ff2701662606d3c69d53c49a84">LongIndex</a> =  int64_t</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a439376ce6d4333d65d971c0012674931">PartitionCount</a> =  <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt;<a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#a0d1cfb72e7511d162d123fcb36d181b7">TileShape::kContiguous</a> / <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#a0d1cfb72e7511d162d123fcb36d181b7">PartitionShape::kContiguous</a>, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#aaec0afa0c26627d951d2d2b98a3e5601">TileShape::kStrided</a> / <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html#aaec0afa0c26627d951d2d2b98a3e5601">PartitionShape::kStrided</a>&gt;</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a46f64537deddaaedfaca7b5ae3cc3e6e">PartitionShape</a> =  <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt;4, 4&gt;</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1fe038f4ae8da6c432397cf20d5894a1">TileShape</a> =  <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt;<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1a8ae93363b37a31b2b0ec0df2ea00d2">kTileShapeContiguous</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a56de60deb0ebd18347ad4fa33e10ffce">kTileShapeStride</a>&gt;</td>
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<p>Fundamental tile shape in units of vectors For TN kblock=32 and 8x8x16 shapes, TileShape = &lt;8, 4&gt;. For the rest, TileShape = &lt;8, 8&gt; </p>

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<p>Compute the number of contiguous elements needed to store a tensor with the given size </p>

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<p>Returns the offset of a coordinate in linear memory. Assumes coordinate has convention (contiguous, strided) </p>

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          <td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::kAccessSize = 128</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::kCrosswise = Crosswise</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::kElementSize = ElementSize</td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::kElementsPerAccess = <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a627189c6253996de45f23c2dc04df72e">kAccessSize</a> / <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1f35f08a131d76521a98c391acedb4e6">kElementSize</a></td>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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<b>Initial value:</b><div class="fragment"><div class="line">=</div><div class="line">      <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1a8ae93363b37a31b2b0ec0df2ea00d2">kTileShapeContiguous</a> * <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a653fa6fd827643bcb835f6a715ac8d25">kElementsPerAccess</a> / <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a58b9d5809fed8924636d1caa32f661ef">kCrosswise</a></div></div><!-- fragment -->
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template&lt;int ElementSize, int Crosswise&gt; </div>
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template&lt;int ElementSize, int Crosswise&gt; </div>
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          <td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html">cutlass::layout::TensorOpMultiplicand</a>&lt; ElementSize, Crosswise &gt;::kTileShapeContiguous = 128 / (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a627189c6253996de45f23c2dc04df72e">kAccessSize</a> / 8)</td>
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<p>Contiguous dimension of the tile shape matches one shared memory cache line - 128B. For 128bit access size, it equals to 8 accesses. </p>

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<b>Initial value:</b><div class="fragment"><div class="line">=</div><div class="line">      ((<a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1a8ae93363b37a31b2b0ec0df2ea00d2">kTileShapeContiguous</a> / <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#abb0b4f936c0e251e9b3560fc9b7820f6">kFactor</a>) &gt; (32 / <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1a8ae93363b37a31b2b0ec0df2ea00d2">kTileShapeContiguous</a>))</div><div class="line">          ? (<a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1a8ae93363b37a31b2b0ec0df2ea00d2">kTileShapeContiguous</a> / <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#abb0b4f936c0e251e9b3560fc9b7820f6">kFactor</a>)</div><div class="line">          : (32 / <a class="code" href="structcutlass_1_1layout_1_1TensorOpMultiplicand.html#a1a8ae93363b37a31b2b0ec0df2ea00d2">kTileShapeContiguous</a>)</div></div><!-- fragment --><p>The strided dimension needs to be at least WarpSize(32) / kTileShapeContiguous for a warp to access. To ensure conflict free access, it also needs to be at least (kTileShapeContiguous / kFactor). </p>

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<hr/>The documentation for this struct was generated from the following file:<ul>
<li><a class="el" href="tensor__op__multiplicand__sm75_8h_source.html">tensor_op_multiplicand_sm75.h</a></li>
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